Mobility of Scientists between Universities, Government and

Mobility of Scientists between
Universities and Industry: A
Perspective from the U.S.
Martin Finkelstein
Seton Hall University , USA
Seminar on Scientific Mobility
Catalan Association of Public Universities, Barcelona, Spain
January 14, 2014
My Point of Departure
• Is mobility of scientists between universities and industry an
“end” in itself? Or rather a means to the larger end of
strengthening the linkages between the cutting edge of basic
science and the innovative capacity and economic
competitiveness of industry?
• I begin by assuming the latter and that assumption shapes
this presentation in several ways
A reformulated set of questions
• How can research and development focused on innovation be
optimally organized to make the best, most timely use of the most
current, “cutting edge” science and technology?
• What role do individual scientists play within different organizational
structures and what challenges do they face?
• How can universities train PhDs for these new roles and re-imagined
careers?
• What are effective strategies for operationalizing structures and
policies? (assuming policies are not “self-executing”)
Plan for this Presentation
• Historical models of R&D organization
• Status of R&D and research careers in the U.S.
• R&D in Spain and New Developments in University-Industry
Collaboration
• New Organizational Structures in the U.S.
• Industry
• Universities
• The Case of MIT
• Some Lessons about making things work
• Some Questions for You!
Three Models of R&D Organization (Lam,
2004)
• Technology push model (1960s and 1970s)
• Corporations invest in centralized, relatively autonomous R&D units staffed by full-time, career scientists recruited from universities
e.g. Bell Labs
• Introduction of a “technical” career ladder and prospects for long-term job security
• Gave rise to classic conflict between scientific/professional and managerial goals and values –loosely coupled connection between
science and product development
• Market pull model (1980s and 1990s)
• Decentralization of R&D into individual business units and market relationship established between R&D(suppliers) and
business division as customer
• Scientist required to work in multi-disciplinary teams (with product developers, marketers, etc) and assume some technocommercial responsibilities
• Distinct “technical” career path yields to “hybrid” career options, including project-to-project and mixed technicalmanagerial roles and recruitment challenges for top talent
• Network model (2000+)
• R&D collaboration with universities and outside research organizations via permeable organizational structures that
reciprocal information flow
• Ad hoc teaming of academic and industry scientists and negotiation of info sharing norms
• New kinds of career structures and new kinds of PhD socialization
What kinds of organizational structures, career
tracks and training experiences can we develop to
operationalize the network model?
• What kinds of organizational structures will encourage the sort of
seamless boundary crossing –back and forth – that we seek?
• What kinds of roles and career tracks can be designed to attract the
best scientists to these “networked” organizational entities?
• What kinds of training and socialization during doctoral study would
develop the kinds of predispositions and skills to allow scientists to
play these “new” kinds of roles and be attracted to these “reimagined” careers?
The situation in the U.S.
• What do we know about mobility of scientists –rates and patterns -between industry, government and universities -- based on National
Study of Postsecondary Faculty (U.S. Department of Education) and
the Survey of Doctoral Recipients (National Science Foundation)?
• What do we know about organizational structures in universities and
industry that promote the flow of knowledge and scientists across
sectors?
• What do we know about the changing roles of scientists and the
emergence of new kinds of career options?
• What do we know about doctoral education and how it is adapting to
the likely career situations of PhD recipients?
The basic R&D context
• In 2011, the US spent 2.7% of GDP on R&D activities accounting for more than one-third of all
global R&D expenditures
• The relevant sectors in which research careers are pursued include: the private, industrial sector
(IND) • the private, non-profit sector (PNP) • the Academic or university sector, both private
and public (ACAD) and • the Federal Government sector(FED)
• Industrial sector is the driving force for research, in terms of level of overall expenditures. In
2011 nearly 71% of all R&D monies will be spent in the Industrial sector, 14% in the Academic
sector, 4% in the private non-profit sector and 7% in the federal government sector
• If smaller in dollar terms, the Federal government has a broader mission, funding research
within its varied agencies (e.g. NIH, CDC) and awarding grants to academic institutions to
support contract research.
• Within academia, academic medical centers (AMC) provide a large and diverse arena for lifescience research
U.S. research careers within the R&D
structure
• Research careers in both the Public and Private sector (business and government) fall within two main tracks:
• Scientist (or technical) tracks aim to develop research scientists into expert, senior scientists. The majority of their work is
investigative in nature and is primarily funded by the organization in which they are employed, or through public and/or private
grants.
• Manager ( or administrative) tracks typically take mid-level scientists, who have indicated a desire to move into management
responsibilities and provide them training and experience in managing R&D staff, associated projects, financial components and
the strategic planning and development of future research projects. Typically, research managers are paid by the organization
solely.
• The Academic sector also has two distinct tracks:
• Scientist tracks proceed much the same way as in the private Industrial sector . Duties are largely research based. However,
significant funding usually comes in the form of public or private grants, with some funding/salary provided by the organization.
• The Professor track includes the typical teaching, research and service duties required of faculty in an institution of higher
education. Further,
• Dual appointments, especially between academia and the federal government (occasionally the industrial sector) are possible
• Typically, these situations arise from a senior or expert level scientist at a public or private organization who wishes to also serve
as a faculty member at an institution. These “joint” appointments afford the research scientist an opportunity to teach within
his/her field of expertise and are temporary in duration, are generally accompanied by a non-career ladder rank(e.g. research
professor) that does not afford them the possibility of tenure.
• Conversely, some faculty members may serve as scientists for certain private organizations or government entities on a selected
basis. Such arrangements are usually made due to the faculty member’s expert status in a particular field and are not usually
permanent placements (e.g. Chief Scientist at NASA who is a professor at the University of Colorado or Director of the Jet
Propulsion Laboratory ( a CalTech professor and administrator)
Basic production of knowledge workers in U.S.
• ~ 48K PhDs annually, ~32K in S&E fields (another 100K terminal
professional degrees, e.g. DBA, DLL, MD, EdD, PsyD)
• Among PhD recipients, ~ ½ report 1st job placement in academe; `1/4 in
industry and 1/10 in government and the non-profit sector
• Considerable variation by discipline: in humanities, 4/5 enter academe; in
engineering, 1/5 while 2/3 enter industry ; in physical sciences ~ 1/3 enter
academe; ~ ½ enter
• Rise of post-doc appointments: ~ ½ S&E PhDs now begin with post-doc
appointments (increasing length and often successive post-docs);while
most frequently funded by federal dollars, they are employed in both
academic, government and industrial settings (Can I get distribution across
sectors?)
U.S. mobility rates and patterns
• ½ S&E PhDs begin in post-doc appointment in varied sectors
• Recent extension of post-doc tenures and mobility from 1st to 2nd
• During immediate post-doc phase, some reciprocal flow between the
contingent academic labor market and stable, full-time positions in
industry, government and non-profits as well as to non-faculty
positions in the academic sector
• Insert data from SDR on job mobility, including inter-sector mobility
• Once tenured in the academic sector, relatively rare to move
permanently outside (except to joint ventures); once establoisging a
career industry, relatively rare to move to academe
The R&D situation in Spain: Basic context
• 2020 Goal: R&D as 3% of GDP (1% public; 2% business)
• In 2011, R&D was 1.33 % of GDP (public 0.64; business 0.70)
• Business R&D expenditures peaked in 2008 , more than doubling in
real terms over the period 2000-2008.
• As a result of European economic crisis , business R&D investment
fell by 6.27% in 2009 and by another 0.81% in 2010.
• Stock or researchers ~10-15% below European average
• 9.7 vs. 10.2 headcount per active labor force
• 5.8 vs. 6.6 FE per active labor force
• Large regional variation
New R&D
developments in Spain
Spanish Science, Technology and
•
The Science, Technology and Innovation Strategy is a 7-year strategy approved by the
Spanish Government on 1 February 2013. It aims, among other overarching
objectives, to acknowledge and promote talent in R&D&I and to promote
researchers’ employability. To achieve that goal, its specific objectives are to train
researchers, to foster mobility and promote career development, and to multiply
career opportunities for researchers.
•
The plan implements the Science, Technology and Innovation Strategy (see above)
until 2016. Specifically aimed at training researchers, the plan includes measures to
promote doctoral training in cooperation with industry, and entrepreneurship as well
as to promote research management training. To foster mobility and promote career
development, the plan encourages researchers from public institutions to spend
some time working in the business sector.
Innovation Strategy (2013-2020)
State Scientific and Technological
Research, and Innovation Plan
(ongoing-2016)
University 2015 Strategy
• The University 2015 Strategy is a Spanish Government initiative for
modernising universities in Spain through the coordination of the autonomous
regional university systems and the development of a modern Spanish
University System. The Strategy promotes research activities and innovation in
Spanish universities while encouraging training activities and knowledge
transfer from the academic world to companies.
•
Law on Science, Technology and
Innovation (2011)
Prescribes a stable and predictable science career for researchers as well as a more efficient
and effective R&D system. The law contains provisions to foster partnerships between
academia and industry and regulates mobility patterns between
New R&D
developments in
Catalonia
Plan for the Researcher’s Career in
Catalonia (2005)
The 2010-2013 Research and
Innovation Plan (PRI), Catalonia
• The Plan for the Researcher’s Career is an initiative at
regional level aiming at developing strategies and
instruments to increase the number of researchers in
Catalonia, encourage researchers’ career development
in both the public and private sectors, and researchers’
mobility between countries, and between academia
and business.
• The Research and Innovation Plan is an initiative at
regional level aiming to plan, promote and coordinate
Catalonia's research and innovation. The Plan is also the
fundamental instrument for maintaining the development
of the 2008 Catalan Agreement on Research and
Innovation (PNRI)over this four year period.
The Nature and scope of the challenge
• While the initial challenge is to develop new policies and enabling legal
context, the next –and perhaps greater – challenge is to make them work!
• We have all heard of the cultural chasm between the academic and
business sector
• Goals
• Values
• Open access vs proprietary
• How do we engage university academic staff in working with industrial
scientists and their organizations?
• How do we engage industrial scientists in working with their academic
counterparts?
• How do integrate new skills and dispositions into doctoral education?
First, New organizational structures in the U.S.
• Previously dominated by large multi-national pharmaceutical, chemical,
technology and energy companies, industrial sector now includes smaller
biotechnology companies, contract research organizations, etc
• Universities are increasingly developing start-up incubation parks on or
adjoining their campuses, investing in faculty spawned start-up companies,
establishing collaborative research programs with industry and developing
technology transfer infrastructures
• Individual academics are seeking venture capital investment and small
firm financing programs like the U.S. Small Business Innovation Research
(SBIR)Program.
• Government and the non-profit sector are promoting university-industry
collaboration through on-going University-Business forums, start-up
financing programs (SBIR above)
New training models
• Entrepreneurial skills, including strategic/project planning,
management and fund raising; multidiscplinary team building skills
• Opportunities for student mobility during doctoral study (e.g.
internships)
• Opportunities for industrial scientist participation in doctoral
education
• Collaborative research projects between university and industrial
scientists and boundary spanning structures
Some examples or models: U.S Industry
• Establishing collaborative research relationships with individual universities in
specific areas. These relationships include:
• Short-term opportunities (up to one year) for academic staff working in areas of
joint interest to work in an industrial lab (with funding) and bringing graduate
students along;
• Offering industrial scientists to cooperating university to teach individual courses
or perhaps severe on doctoral committees
• Sponsoring post-docs for new graduates
• Entering into ad hoc partnerships for the commercialization of new technologies
developed at the university (University technology transfer offices)
• Requiring industrial scientists to devote 10-15% of work time to “personal”
research projects
• SOP at 3-M, Johnson& Johnson, IBM, Pfizer, Exxon
Boundary-Spanning Organizational Structures
in Universities
• Most U.S universities have a Vice President for Research who
manages all contract research (one of perhaps a dozen VPs for
academic affairs, financial administration, government relations,
fund-raising, student affairs, etc)
• Within this Contract Research Unit, there is usually a Technology
Transfer Office whose role is to develop agreements with industry
(including negotiation of intellectual property rights) for bringing to
market faculty research results and inventions as well as applying for
patents
• There may also be an industry liaison office
MIT as a Model of University-Industry
Partnership
• Currently over 700 companies are working with faculty and students on projects of mutual interest. Among these corporate
sponsors are such global leaders as BAE, BP, Boeing, Du Pont, eni, Ford Motor, Google, Intel, Lockheed Martin, Novartis, Quanta
Computer, Raytheon, Samsung, Sanofi, Shell, Siemens, TOTAL, etc.
• MIT has vibrant patenting/licensing activity, with 706 new invention disclosures in FY12, and $148 million in total licensing
revenue. It has a Technology Licensing Office (TLO) that moves the results of MIT research into societal use via technology
licensing, through a process which is consistent with academic principles, demonstrates a concern for the welfare of students and
faculty, and conforms to the highest ethical standards. This process benefits the public by creating new products and promoting
economic development. It helps MIT:
.
• According to a 2009 Kauffman Foundation Entrepreneurship Study, 25,000+ companies have been founded by MIT alums creating
3.3+ million jobs and $2 trillion in annual world sales.
• MIT established the Deshpande Center at the MIT School of Engineering in 2002 to increase the impact of MIT technologies in the
marketplace, and supports a wide range of emerging technologies including biotechnology, biomedical devices, information
technology, new materials, tiny tech, and energy innovations. Since 2002, The Deshpande Center has funded more than 80
projects with over $9 M in grants. Eighteen projects have spun out of the center into commercial ventures, having collectively
raised over $140 M in outside financing. Thirteen venture capital firms have invested in these ventures
• MIT sponsors a search engine that allows any corporation to search the research currently being conducted by MIT faculty ans
students
MIT’s Office of Corporate Relations
• MIT’s Office of Corporate Relations aids and directs companies interested in
pursuing significant, multi-year, multi-disciplinary involvement with the
Institute. OCR's expert staff works with MIT senior administration, faculty, and
company executives to structure and define individualized alliances that mutually
benefit the company and MIT. The result is a holistic industry/university
relationship that addresses broad needs and interests, from specific research
projects and initiatives, to executive education, technology licensing, and
recruitment.
• OCR, the organizational parent of the Industrial Liaison Program at MIT, can be
instrumental in providing connections to MIT faculty, departments, labs, and
centers. It serves companies across the globe and is organized both
geographically and by industry. In addition to corporate partners, OCR also helps
regional governmental organizations who look to the unique, entrepreneurial
MIT/Cambridge environment as they begin to develop their own regional
innovation eco-systems.
MIT’s Industrial Liaison Program (ILP)
• Established in 1948, ILP, has worked with 200+ companies worldwide, and offers corporate
“memberships”
• As a corporate member, MIT assigns an “Industrial Liaison Officer (ILO) to the member company
based on his/her knowledge and understanding of your industry. Whether focus of corporate
client is exploratory and spontaneous, or narrowly focused and structured, the ILP works to
develop an individualized member “Action Plan”
• General objectives of an ILP Action Plan are to:
•
•
•
•
•
Prioritize interest areas
Identify ideal company participants, stakeholders
Develop objectives for MIT interactions
Schedule specific activities involving interactions with faculty researchers, labs and centers
Provide ongoing assessment, advice on next steps
• An ILP Action Plan typically calls for managers and researchers from a company to visit the MIT
campus several times a year, actively participating in a series of meetings with MIT experts. All
interactions are professionally developed and organized by the ILP.
ILP (con’t)
• Initial discussions between ILP members and MIT faculty often lead to
significant sponsorship of research, involving much more frequent and
complex MIT linkages, often involving multi-disciplinary teams. The ILP
advises on reaching consensus with principal investigators on the specific
area of research interest, aids in assembling the project team, serve as a
central point of contact and coordination, and act as a catalyst for progress.
• At any given time, about 1/3 of ILP members are actively sponsoring
research at MIT. The ILP has included MIT collaborations with
corpoorations such as BP, British Telecom, Du Pont, Eni, Microsoft,
Novartis, Quanta Computer, Tata Chemical.
So, in the case of MIT, a multifaceted program
of industry interface
• A search engine /information clearinghouse for research in progress
• A corporate membership program that includes client-oriented
services
• An well-staffed office of liaison to industry
• A technology transfer office
• An internal innoivation development fund
What allows this to work?
• Structures and mechanisms , including a “common space” available to
bring people together
• Collaborations are forged at the individual level and require individual
motivation to initiate and sustain
• Focus on interests of clients and MIT faculty (ground-up)
• Incentives built in for the university and its faculty (revenue) and clients
(who can get research done at a fraction of the cost of doing it themselves)
• Provide concrete experiences across settings that are short-term, but
intensive
• Be flexible with project design and management (responsive to changing
and unanticipated needs
What motivates faculty and what sustains
their collaborative efforts
• They are working on projects that matter to them, the build on
previous work or relationships [grassroots]
• They see the clear individual career benefits, esp in terms of
contributing to future productivity
• There is clear departmental (and broader institutional) involvement
and support
• There is considerable flexibility in project design and management (
responsive to unanticipated needs)
• Graduate students are involved; and
Some questions for you
• How have Spanish or Catalan industries historically employed PhD
recipients? What % of Spanish PhDs work in industry?
• What kinds of linkages currently exist between individual universities
and individual business corporation? In what industries? Energy?
Chemical? Pharmaceutical?
• How have universities responded organizationally to the new laws
and strategic initiatives of the national and regional government?
• What about Spanish scientists and engineers? What % are involved
currently in work with industry?
• How does our discussion today apply to the Catalan case?
Thank you!